Parris

ML server builder

Automates the setup and training of machine learning algorithms on remote servers

Parris, the automated infrastructure setup tool for machine learning algorithms.

GitHub

316 stars
17 watching
23 forks
Language: Python
last commit: over 8 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
minimaxir/automl-gsAutomates machine learning model creation and optimization for complex datasets1,857
paulescu/hands-on-train-and-deploy-mlA step-by-step guide to building and deploying a Machine Learning-based REST API for predicting crypto prices using Python.769
ml-tooling/ml-workspaceAn all-in-one web-based IDE for machine learning and data science3,446
jvalegre/robertAutomated machine learning protocols for cheminformatics using Python39
pmerienne/trident-mlA real-time online machine learning library built on top of Storm and Trident.381
jgreenemi/mlpleasehelpA search engine for machine learning resources5
autoviml/auto_vimlAutomatically builds multiple machine learning models using a single line of code.526
eightbec/fastapi-ml-skeletonA FastAPI-based framework for serving machine learning models in production-ready applications412
vsoch/django-river-mlA Django plugin for deploying river online machine learning models11
vincentclaes/datajobAutomates end-to-end machine learning pipeline deployment with AWS services111
ryuk17/machinelearningThis is a collection of machine learning algorithms implemented in Python 3.6.103
mitmath/18337A course project on parallel computing and scientific machine learning using Julia programming language226
open-mmlab/mmengineProvides a flexible and configurable framework for training deep learning models with PyTorch.1,196
sematic-ai/sematicAn open-source platform for building and managing machine learning pipelines with Python976
lge-arc-advancedai/auptimizerAutomates model building and deployment process by optimizing hyperparameters and compressing models for edge computing.200